Design and implementation of train-to-train wireless communication in virtual train coupling system

Abstract

This article discusses the detailed examination of the engineering design and implementation process for direct Train-to-Train (T2T) communication within a wireless train backbone network in the context of a virtual coupling scenario. The article proposed several critical aspects, including the optimization of transmission data requirements, which is essential to ensure that communication between trains is efficient and reliable. The design of the T2T wireless communication subsystem is discussed in detail, outlining the technical specifications, protocols, and technologies employed to facilitate wireless communication between multiple trains. Additionally, the article presents a thorough analysis of the data collected during real-world train experiments, highlighting the performance metrics and challenges encountered during testing. This empirical data not only validates the effectiveness of the proposed design but also serves as a crucial reference for future advancements in T2T wireless communication systems. By combining both theoretical principles and practical outcomes, the article offers insights that will aid engineers and researchers in developing robust and efficient wireless communication systems for next-generation train operations.

Keywords

Railway / Wireless communication / Virtual coupling / V2X / Train backbone

CRediT authorship contribution statement

Weifeng Yang: Methodology, Project administration, Writing - original draft, Writing - review & editing. Taifu Chen: Software, Writing - original draft, Writing - review & editing. Chen Han: Investigation, Methodology. Dong Feng: Data curation, Investigation. Jihui Zhou: Investigation, Resources.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This work was supported by the National Key R&D Program of China (2021YFF0501103).

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